library(mclust)
Warning: package ‘mclust’ was built under R version 4.1.2
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/ |/ / ____/ / / / / / ___/_ __/
/ /|_/ / / / / / / / /\__ \ / /
/ / / / /___/ /___/ /_/ /___/ // /
/_/ /_/\____/_____/\____//____//_/ version 5.4.9
Type 'citation("mclust")' for citing this R package in publications.
Attaching package: ‘mclust’
The following object is masked from ‘package:purrr’:
mapLooks like we can’t really throw away a non-trivial amount of component vectors.
gameInfo.svd <- gameInfo %>%
select(!1:3) %>%
as.matrix() %>%
svd()gameInfo.svd %>%
head()
$d
[1] 1.740198e+02 8.749398e+01 8.482913e+01
[4] 8.321781e+01 8.019488e+01 7.745692e+01
[7] 7.651088e+01 7.560129e+01 7.527986e+01
[10] 7.477068e+01 7.390218e+01 7.224390e+01
[13] 7.172339e+01 7.045779e+01 6.992477e+01
[16] 6.893636e+01 6.883964e+01 6.817089e+01
[19] 6.754341e+01 6.658435e+01 6.564968e+01
[22] 6.537229e+01 6.446440e+01 6.418094e+01
[25] 6.396647e+01 6.334588e+01 6.319485e+01
[28] 6.248385e+01 6.229184e+01 6.134096e+01
[31] 6.128897e+01 6.102166e+01 6.066034e+01
[34] 5.979114e+01 5.949351e+01 5.937676e+01
[37] 5.909663e+01 5.904073e+01 5.884688e+01
[40] 5.848952e+01 5.811503e+01 5.801137e+01
[43] 5.770079e+01 5.758279e+01 5.747736e+01
[46] 5.741237e+01 5.730174e+01 5.708366e+01
[49] 5.688824e+01 5.655575e+01 5.630760e+01
[52] 5.605709e+01 5.600950e+01 5.559214e+01
[55] 5.519540e+01 5.509268e+01 5.500896e+01
[58] 5.487217e+01 5.480274e+01 5.463543e+01
[61] 5.456569e+01 5.426950e+01 5.410395e+01
[64] 5.405446e+01 5.385383e+01 5.368178e+01
[67] 5.364999e+01 5.339029e+01 5.314069e+01
[70] 5.312529e+01 5.299342e+01 5.267957e+01
[73] 5.260047e+01 5.244625e+01 5.237004e+01
[76] 5.225449e+01 5.216546e+01 5.194421e+01
[79] 5.188307e+01 5.175339e+01 5.159396e+01
[82] 5.144196e+01 5.133590e+01 5.119620e+01
[85] 5.113023e+01 5.096654e+01 5.089885e+01
[88] 5.065559e+01 5.057677e+01 5.047036e+01
[91] 5.032053e+01 5.013150e+01 5.004793e+01
[94] 4.976756e+01 4.971436e+01 4.962240e+01
[97] 4.955103e+01 4.948729e+01 4.941146e+01
[100] 4.925609e+01 4.919648e+01 4.907790e+01
[103] 4.903956e+01 4.885575e+01 4.873960e+01
[106] 4.844579e+01 4.835962e+01 4.818871e+01
[109] 4.813764e+01 4.797872e+01 4.783985e+01
[112] 4.770558e+01 4.768450e+01 4.753032e+01
[115] 4.747845e+01 4.739695e+01 4.713640e+01
[118] 4.709036e+01 4.707647e+01 4.695612e+01
[121] 4.686331e+01 4.678766e+01 4.659070e+01
[124] 4.647950e+01 4.640652e+01 4.634882e+01
[127] 4.624197e+01 4.611087e+01 4.589993e+01
[130] 4.578032e+01 4.568190e+01 4.566266e+01
[133] 4.558804e+01 4.557077e+01 4.548121e+01
[136] 4.532967e+01 4.518495e+01 4.508981e+01
[139] 4.491820e+01 4.490008e+01 4.477592e+01
[142] 4.464308e+01 4.455131e+01 4.437600e+01
[145] 4.430064e+01 4.426335e+01 4.406506e+01
[148] 4.401569e+01 4.391544e+01 4.383871e+01
[151] 4.374754e+01 4.370318e+01 4.349192e+01
[154] 4.343951e+01 4.334504e+01 4.317435e+01
[157] 4.308532e+01 4.299698e+01 4.293197e+01
[160] 4.276025e+01 4.271561e+01 4.255327e+01
[163] 4.250281e+01 4.239024e+01 4.232999e+01
[166] 4.213741e+01 4.209452e+01 4.200564e+01
[169] 4.190258e+01 4.183781e+01 4.168681e+01
[172] 4.159321e+01 4.154823e+01 4.148652e+01
[175] 4.144953e+01 4.126164e+01 4.117214e+01
[178] 4.102695e+01 4.099755e+01 4.093250e+01
[181] 4.071313e+01 4.053748e+01 4.047413e+01
[184] 4.029409e+01 4.020566e+01 4.013327e+01
[187] 3.992857e+01 3.990133e+01 3.978034e+01
[190] 3.959556e+01 3.955338e+01 3.942337e+01
[193] 3.922279e+01 3.908603e+01 3.890937e+01
[196] 3.875062e+01 3.868981e+01 3.861401e+01
[199] 3.838448e+01 3.830967e+01 3.821891e+01
[202] 3.794476e+01 3.767230e+01 3.752650e+01
[205] 3.746790e+01 3.729094e+01 3.711986e+01
[208] 3.696253e+01 3.682353e+01 3.670402e+01
[211] 3.663301e+01 3.656903e+01 3.646732e+01
[214] 3.635090e+01 3.631285e+01 3.609697e+01
[217] 3.596179e+01 3.586856e+01 3.571571e+01
[220] 3.564593e+01 3.556284e+01 3.548969e+01
[223] 3.537960e+01 3.519118e+01 3.516562e+01
[226] 3.506487e+01 3.492665e+01 3.478899e+01
[229] 3.455253e+01 3.447655e+01 3.414695e+01
[232] 3.403261e+01 3.394166e+01 3.389349e+01
[235] 3.377908e+01 3.357141e+01 3.337163e+01
[238] 3.330574e+01 3.303260e+01 3.295211e+01
[241] 3.287946e+01 3.281339e+01 3.251696e+01
[244] 3.236886e+01 3.229084e+01 3.218208e+01
[247] 3.204315e+01 3.192601e+01 3.188245e+01
[250] 3.170606e+01 3.165783e+01 3.152743e+01
[253] 3.129509e+01 3.124525e+01 3.107911e+01
[256] 3.094648e+01 3.082719e+01 3.051667e+01
[259] 3.045528e+01 3.032491e+01 3.016441e+01
[262] 3.011389e+01 2.988576e+01 2.970019e+01
[265] 2.965632e+01 2.947697e+01 2.920493e+01
[268] 2.913155e+01 2.889998e+01 2.876903e+01
[271] 2.874665e+01 2.857622e+01 2.845169e+01
[274] 2.825249e+01 2.817276e+01 2.811358e+01
[277] 2.792556e+01 2.781018e+01 2.773569e+01
[280] 2.765004e+01 2.763168e+01 2.749050e+01
[283] 2.732669e+01 2.723652e+01 2.721894e+01
[286] 2.689405e+01 2.686250e+01 2.672989e+01
[289] 2.654358e+01 2.630824e+01 2.614987e+01
[292] 2.600153e+01 2.574895e+01 2.529347e+01
[295] 2.508330e+01 2.493353e+01 2.447146e+01
[298] 2.429136e+01 2.414961e+01 2.401423e+01
[301] 2.382580e+01 2.307088e+01 2.292132e+01
[304] 2.212803e+01 2.186208e+01 2.108140e+01
[307] 2.101051e+01 2.014949e+01 1.997917e+01
[310] 1.883882e+01 1.851739e+01 1.755052e+01
[313] 1.709953e+01 1.978918e-12
$u
[,1] [,2] [,3]
[1,] 0.002695241 -1.405418e-04 1.797799e-04
[2,] 0.004991804 -3.176232e-03 1.946352e-03
[3,] 0.002661620 5.492065e-04 2.586415e-04
[,4] [,5] [,6]
[1,] -1.418861e-04 1.661089e-05 -2.170066e-04
[2,] 1.293023e-02 -4.280872e-03 7.526310e-03
[3,] 1.460979e-03 2.673824e-03 2.268979e-04
[,7] [,8] [,9]
[1,] 1.674849e-03 2.618736e-04 -1.126416e-04
[2,] -5.387522e-03 2.244273e-04 -1.578095e-03
[3,] 2.118493e-03 7.240019e-03 1.597426e-03
[,10] [,11] [,12]
[1,] -5.279389e-04 2.221293e-04 5.146099e-04
[2,] -1.664480e-04 -1.563265e-03 -1.288322e-04
[3,] 1.234194e-03 -3.483691e-04 -3.438280e-03
[,13] [,14] [,15]
[1,] 1.175613e-03 -3.101499e-04 7.479078e-04
[2,] 8.937549e-03 -2.635522e-03 2.294243e-03
[3,] -1.666930e-03 2.252004e-03 6.784860e-03
[,16] [,17] [,18]
[1,] 7.326788e-04 -9.813260e-04 -2.820453e-04
[2,] -8.752669e-03 6.555403e-03 -8.337202e-04
[3,] 1.904430e-03 -1.473525e-03 1.535139e-03
[,19] [,20] [,21]
[1,] 1.233356e-03 1.949540e-03 1.099640e-02
[2,] 3.213594e-04 -3.794543e-03 -1.742198e-03
[3,] 2.633988e-03 2.956785e-03 -8.879634e-04
[,22] [,23] [,24]
[1,] -5.448599e-07 1.634945e-03 8.651210e-04
[2,] 7.459415e-03 -2.025973e-03 -6.126344e-07
[3,] 1.734360e-03 1.310241e-03 -2.349384e-03
[,25] [,26] [,27]
[1,] 2.023940e-03 -9.947135e-04 -1.636341e-03
[2,] -1.702028e-03 -2.736171e-03 1.934929e-03
[3,] 8.024375e-04 -3.279439e-05 8.680283e-05
[,28] [,29] [,30]
[1,] 3.204423e-04 -3.161228e-04 -8.236965e-03
[2,] -1.939310e-04 6.722646e-04 -1.378039e-03
[3,] 4.130406e-04 1.271849e-03 6.501188e-04
[,31] [,32] [,33]
[1,] 4.000275e-03 4.373506e-03 7.329696e-04
[2,] -1.137144e-03 3.303585e-04 2.668621e-03
[3,] -4.674180e-04 3.314880e-04 -2.446751e-03
[,34] [,35] [,36]
[1,] 8.988589e-05 1.018570e-03 9.616541e-04
[2,] 5.990471e-06 2.007703e-03 6.792674e-04
[3,] 4.350597e-04 1.914115e-04 -1.741587e-04
[,37] [,38] [,39]
[1,] 4.187637e-04 -5.041959e-04 2.752145e-03
[2,] 2.016386e-03 6.439190e-04 -2.931629e-03
[3,] 6.353305e-04 -3.824646e-04 -2.727632e-03
[,40] [,41] [,42]
[1,] 1.299408e-04 1.097746e-03 -6.786715e-04
[2,] -2.231048e-03 -1.466807e-03 -2.884184e-03
[3,] 2.099358e-04 1.459827e-03 -1.218566e-04
[,43] [,44] [,45]
[1,] 2.032776e-03 6.067443e-04 -8.721835e-05
[2,] 1.098842e-04 6.118776e-03 1.008586e-04
[3,] 2.266988e-04 -1.169037e-04 5.797643e-04
[,46] [,47] [,48]
[1,] 9.314880e-04 -1.580089e-05 -2.598448e-04
[2,] 5.778558e-04 3.496172e-03 -2.306038e-03
[3,] -1.188119e-03 3.543697e-04 1.081516e-03
[,49] [,50] [,51]
[1,] -2.538797e-03 4.219664e-04 1.771039e-03
[2,] -2.915537e-04 1.055508e-03 -8.225586e-04
[3,] -1.003090e-03 1.153076e-03 -9.274126e-04
[,52] [,53] [,54]
[1,] -2.454181e-04 1.982141e-03 2.043108e-03
[2,] -1.548285e-03 1.410696e-03 6.170294e-03
[3,] 1.317572e-03 -1.698861e-03 6.591528e-04
[,55] [,56] [,57]
[1,] -7.012755e-04 2.061660e-03 -1.922648e-03
[2,] -2.571327e-03 -1.826232e-03 2.038155e-03
[3,] 4.885150e-04 1.704048e-06 1.715155e-04
[,58] [,59] [,60]
[1,] 1.121390e-03 -1.649432e-03 1.198144e-03
[2,] 3.964040e-04 -2.440165e-03 -2.262867e-03
[3,] -1.577658e-03 -1.180804e-03 1.304482e-03
[,61] [,62] [,63]
[1,] 2.848211e-03 1.110206e-03 6.914024e-04
[2,] 2.621702e-03 5.172332e-03 -1.302289e-03
[3,] -2.054805e-03 6.647399e-04 2.887555e-05
[,64] [,65] [,66]
[1,] 3.109915e-03 -1.719223e-03 5.067816e-04
[2,] -1.262060e-03 6.136136e-03 2.938773e-03
[3,] 1.068041e-03 2.216602e-03 2.346310e-03
[,67] [,68] [,69]
[1,] -5.280562e-04 -1.832403e-03 2.792750e-03
[2,] 3.281396e-03 -6.319108e-04 3.340267e-03
[3,] -7.097094e-04 1.259019e-03 3.606328e-03
[,70] [,71] [,72]
[1,] 1.925881e-03 4.294705e-03 8.799512e-04
[2,] 2.602141e-03 6.727283e-03 9.981770e-04
[3,] -8.869630e-03 -4.378652e-03 3.260423e-05
[,73] [,74] [,75]
[1,] -2.533658e-03 3.106577e-03 1.927356e-03
[2,] -6.483561e-03 6.239738e-03 2.803994e-03
[3,] -1.620452e-03 1.157065e-03 4.095259e-04
[,76] [,77] [,78]
[1,] -5.994623e-03 6.672646e-03 6.169828e-03
[2,] -7.434046e-03 -1.684125e-03 -3.037251e-03
[3,] -3.715752e-03 1.199871e-03 7.244548e-04
[,79] [,80] [,81]
[1,] -9.255183e-03 2.711997e-03 -1.043451e-03
[2,] 1.845353e-03 4.026166e-03 3.120745e-03
[3,] -2.629438e-03 -3.554363e-03 -4.427969e-04
[,82] [,83] [,84]
[1,] 4.083377e-04 2.010724e-03 -3.417937e-03
[2,] 1.963571e-04 -2.074598e-04 -3.719151e-03
[3,] 3.531025e-03 -4.173054e-05 -1.685632e-03
[,85] [,86] [,87]
[1,] -1.685039e-03 2.432579e-03 4.515404e-04
[2,] 2.066153e-03 4.224841e-04 7.266253e-04
[3,] 8.755009e-04 -1.039202e-03 2.392120e-06
[,88] [,89] [,90]
[1,] 2.780163e-03 -4.301008e-03 7.703586e-03
[2,] 5.787806e-04 -3.477913e-04 9.110483e-03
[3,] 9.569664e-03 -7.016925e-03 -3.929129e-03
[,91] [,92] [,93]
[1,] -3.566455e-03 5.508741e-03 -5.551156e-03
[2,] -4.766346e-03 7.099083e-03 -3.771526e-03
[3,] 1.945539e-03 -6.184473e-04 8.466207e-04
[,94] [,95] [,96]
[1,] 2.790699e-03 2.049966e-03 -1.098369e-02
[2,] 1.480561e-03 -3.898696e-03 -2.946155e-03
[3,] -1.901029e-03 -7.781258e-04 4.004164e-03
[,97] [,98] [,99]
[1,] -2.298659e-03 -4.700001e-03 -2.406549e-03
[2,] -2.287479e-03 -6.521053e-04 -1.257208e-02
[3,] 2.115555e-03 -1.833341e-03 -1.376453e-04
[,100] [,101] [,102]
[1,] -7.185824e-03 5.904884e-03 -5.126592e-04
[2,] -6.696899e-03 1.870342e-03 2.151698e-03
[3,] 5.658791e-05 3.621388e-03 -4.236985e-03
[,103] [,104] [,105]
[1,] 9.069998e-04 6.792709e-03 -2.663473e-03
[2,] 3.160138e-03 -1.908172e-03 3.753294e-03
[3,] 2.632032e-03 -1.379949e-03 5.885190e-03
[,106] [,107] [,108]
[1,] -8.940701e-03 1.450104e-04 -6.306003e-03
[2,] 1.092327e-03 1.541513e-04 -2.166071e-03
[3,] -4.370770e-03 3.857012e-03 6.985435e-03
[,109] [,110] [,111]
[1,] 2.665363e-04 1.449355e-04 2.708038e-03
[2,] 5.005247e-03 3.700560e-04 3.536979e-03
[3,] 4.746194e-03 -1.215176e-03 -1.522399e-03
[,112] [,113] [,114]
[1,] 3.010465e-04 -2.113046e-03 3.878983e-03
[2,] 1.753064e-03 1.859313e-03 -1.150601e-03
[3,] -4.891208e-03 -4.124020e-03 5.248288e-04
[,115] [,116] [,117]
[1,] 6.311770e-03 -8.810581e-04 1.960428e-03
[2,] 1.443592e-03 -1.157615e-03 -3.398961e-03
[3,] -1.593054e-03 -1.343092e-03 1.056946e-02
[,118] [,119] [,120]
[1,] -9.399363e-03 4.878743e-03 -3.352728e-03
[2,] -2.053788e-04 -3.160299e-03 -1.060529e-03
[3,] 1.400753e-02 -5.052775e-03 -2.821986e-03
[,121] [,122] [,123]
[1,] -1.997953e-04 -3.805347e-03 3.815384e-03
[2,] 3.499598e-03 2.083396e-03 2.626220e-03
[3,] -3.523894e-03 -7.737480e-03 -3.361425e-03
[,124] [,125] [,126]
[1,] 5.382199e-03 5.058762e-03 4.650090e-03
[2,] -7.673287e-04 1.481335e-03 3.620659e-04
[3,] -3.004544e-03 3.046646e-03 5.780405e-03
[,127] [,128] [,129]
[1,] -5.758881e-03 4.878173e-03 2.866902e-03
[2,] 3.376014e-03 -1.828036e-03 -3.163531e-03
[3,] 6.046415e-03 -6.359563e-03 -7.941290e-03
[,130] [,131] [,132]
[1,] 1.411154e-02 -3.689233e-04 -2.836943e-03
[2,] 3.923918e-05 2.901557e-03 -2.073025e-03
[3,] 7.796104e-03 1.101110e-03 -1.587304e-03
[,133] [,134] [,135]
[1,] -1.875018e-03 -5.329755e-03 -4.284414e-03
[2,] -1.199017e-03 1.532141e-03 -2.665015e-03
[3,] -3.441269e-03 1.789444e-03 -1.744966e-03
[,136] [,137] [,138]
[1,] -5.879133e-03 1.437800e-02 5.171279e-03
[2,] -8.675528e-05 4.105118e-03 2.917788e-03
[3,] -2.280499e-03 -8.059257e-03 -1.902982e-03
[,139] [,140] [,141]
[1,] -8.056373e-04 -5.082907e-03 1.687730e-03
[2,] -2.877436e-03 -3.918588e-04 -1.143637e-03
[3,] 4.731258e-03 -5.482436e-04 4.301686e-03
[,142] [,143] [,144]
[1,] -9.011854e-03 6.917147e-03 1.940418e-03
[2,] 2.371961e-03 9.095978e-04 -2.747159e-03
[3,] -9.293723e-03 7.892948e-04 -1.063856e-03
[,145] [,146] [,147]
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[ reached getOption("max.print") -- omitted 68199 rows ]
$v
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[2,] -0.0055917020 -1.192409e-02 -0.0306427684
[3,] 0.0102297779 1.986912e-02 0.0153927194
[,307] [,308] [,309]
[1,] 0.0325010441 9.223716e-03 -2.753185e-02
[2,] 0.0475902856 3.391675e-03 -2.786095e-02
[3,] -0.0243797286 3.057508e-03 -1.130930e-02
[,310] [,311] [,312]
[1,] 0.0044039690 -0.0237149883 5.576186e-03
[2,] 0.0186378632 -0.0665379758 7.729327e-03
[3,] -0.0063404046 0.0018573003 -7.899281e-03
[,313] [,314]
[1,] -6.811953e-03 0.05643326
[2,] -7.102186e-03 0.05643326
[3,] -1.761650e-03 0.05643326
[ reached getOption("max.print") -- omitted 311 rows ]gameInfo.EM <- Mclust(
data = gameInfo %>%
select(!1:3)
)fitting ...
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|============================================| 100%summary(gameInfo.EM)
----------------------------------------------------
Gaussian finite mixture model fitted by EM algorithm
----------------------------------------------------
Mclust XXX (ellipsoidal multivariate normal) model
with 1 component:
Clustering table:
1
68202